How to deal with multiple-targets in speaker identification systems?

Yaniv Zigel, Moshe Wasserblat

Research output: Contribution to conferencePaperpeer-review

24 Scopus citations

Abstract

In open-set speaker identification systems a known phenomenon is that the false alarm (accept) error rate increases dramatically when increasing the number of registered speakers (models). In this paper, we demonstrate this phenomenon and suggest a solution using a new model-dependent score-normalization technique, called Top-norm. The Top-norm method was specifically developed to improve results of open-set speaker identification systems. Also, we suggest a score-normalization parameter adaptation technique. Experiments performed using speaker recognition corpora arc described and demonstrate that the new method outperforms other normalization methods.

Original languageEnglish GB
DOIs
StatePublished - 1 Dec 2006
Externally publishedYes
EventIEEE Odyssey 2006: Workshop on Speaker and Language Recognition - San Juan, Puerto Rico
Duration: 28 Jun 200630 Jun 2006

Conference

ConferenceIEEE Odyssey 2006: Workshop on Speaker and Language Recognition
Country/TerritoryPuerto Rico
CitySan Juan
Period28/06/0630/06/06

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Software

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